NVIDIA Enterprise GPU Cloud
Accelerated Bare-Metal GPU Compute for LLM Training, AI Fine-Tuning & Inference
High-density GPU cloud instances powered by NVIDIA H100, A100, L40S, and RTX 4090 GPUs. Equipped with InfiniBand low-latency interconnects, high-throughput PCIe Gen5 buses, and pre-configured AI/ML developer environments.
Starting From
Zero Setup Fees • Tier-IV Datacenters
Platform Capabilities & Enterprise Architecture
Bare-Metal Direct Access to NVIDIA Tensor Core GPUs
InfiniBand 100G/200G Multi-Node Clustering for Distributed Training
Pre-Configured PyTorch, TensorFlow, CUDA 12, and vLLM Inference Engines
Tier-IV Indian Datacenters Guaranteeing Strict Sovereign AI Compliance
Liquid-Cooled & High-Density Air-Cooled Infrastructure in Noida
Compute Nodes
Ready-to-Deploy Instances & Configurations
RTX 4090 Workstation
GPU:NVIDIA RTX 4090 (24GB VRAM)
CPU:16 vCPU Cores
RAM:128 GB DDR5
Storage:2 TB Gen4 NVMe
NVIDIA L40S 48GB
Popular ChoiceGPU:NVIDIA L40S (48GB Ada Lovelace)
CPU:32 vCPU Cores
RAM:256 GB DDR5
Storage:4 TB Gen4 NVMe
NVIDIA H100 80GB SXM5
GPU:NVIDIA H100 (80GB HBM3)
CPU:Dual EPYC 9654 (192 Cores)
RAM:512 GB DDR5
Storage:8 TB Gen5 NVMe
Technical Specifications
GPU Models Available
NVIDIA H100 80GB SXM5, A100 80GB, L40S 48GB, RTX 4090 24GB
Interconnect Technology
NVIDIA Quantum InfiniBand & 100G RoCE
Software Stack
Ubuntu 22.04 LTS, CUDA 12.x, cuDNN, TensorRT, Docker, Triton Inference Server
Data Sovereignty
100% Indian Datacenter Hosting with No Overseas Data Egress
Target Workloads & Production Use Cases
Large Language Model (LLM) Inference
Deploy open-source LLMs (LLaMA 3, Mistral, Gemma) with sub-second token generation times.
Computer Vision & Medical Imaging
Train convolutional and transformer neural networks on massive video datasets.
Clear Answers
NVIDIA Enterprise GPU Cloud FAQs
Everything you need to know about Cloudlelo infrastructure, datacenters, billing, and support.
Pre-configured instances deploy within 1 to 4 hours with SSH credentials and CUDA toolkits ready.
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